Geog 111A-211A Overview

1. Geog 111A-211A Overview Fall 2006

2. Dynamic Planning Practice Evolving Paradigm of Modeling and Simulation New Research and Technology Sustainable and Green Visions The Three Pillars Note: Modeling and Simulation includes quantitative and qualitative nature

3. Recall Activity-based Example

4. Penn State Evacuation Model • Sajjad Alam, MS, 1996(simplified model of the PennState campus life) • Application for general planning, circulation plan, emergency operations, and special events

5. Used Activity Diary to Derive Time of Day Profiles Personal needs (includes sleep) Paid work Education Eat Meal Travel

6. Activity Participation - Students

7. Activity Participation - Faculty

8. Activity Participation - Staff

9. Assembled • Administrative records • Building characteristics • Developed attractiveness indicators (a gravity/distance model) • A survey of activity participation • A method to sequence activity participation

10. Dynamic Presence on Campus

11. Dynamic Presence on Campus

12. Dynamic Presence on Campus

13. Dynamic Presence on Campus

14. Dynamic Presence on Campus

15. Dynamic Presence on Campus

16. Dynamic Presence on Campus

17. Dynamic Presence on Campus

18. Dynamic Presence on Campus

19. Dynamic Presence on Campus

20. Dynamic Presence on Campus

21. Dynamic Presence on Campus

22. Dynamic Presence on Campus

23. Dynamic Presence on Campus

24. Dynamic Presence on Campus

25. Dynamic Presence on Campus

26. Dynamic Presence on Campus

27. Dynamic Presence on Campus

28. Dynamic Presence on Campus

29. Dynamic Presence on Campus

30. Dynamic Presence on Campus

31. Dynamic Presence on Campus

32. Dynamic Presence on Campus

33. Dynamic Presence on Campus

34. Combination of These Ideas = Centre SIM(by J. Kuhnau, J. Eom, and M. Zekkos) • Build a network and facility information from 1997 to 2000 • Use business/establishment data • Build and verify zonal system and information therein • Expand Alam approach to the entire county • Identify major new developments and network changes in 2000 to 2020 • Provide a base model and validate it • No new data collection for Kuhnau – Eom and Zekkos modify routines using new data

35. Simplified time of day activity-location-travel

36. Zone Presence and Travel Demand Output for Time Segment 8:00 – 9:00 AM

37. Zone Presence and Travel Demand Output for Time Segment 12:00 – 1:00 PM

38. Zone Presence and Travel Demand Output for Time Segment 4:00 – 5:00 PM

39. Zone Presence and Travel Demand Output for Time Segment 8:00 – 9:00 PM

40. More recent with Goods Movements (V/C)(Jinki Eom MS)

41. Many Models Like CentreSIM

42. Model Review • Completed a review of 49 activity-based transportation models • Paradigms implemented (alone or in combination): • Cellular Automata (TRANSIMS) • Constraint-based (AMOS, BSP, CARLA, FAMOS, FEATHERS) • Computational Process Model (ALBATROSS, SCHEDULER, TASHA) • Data-statistical Distributions (DEMOS, MORPC, ORIENT, TASHA) • Econometric Utility-based (CEMDAP, PCATS, STARCHILD, TASHA) • Framework (SCHEDULER, SMART) • Hazards Risk (COMRADE) • Microsimulation (ALBATROSS, CEMDAP, FAMOS, TRANSIMS) • Operations Research (HAPP) • Psychometric Cognitive (SCHEDULER, GISICAS)

43. Activity Model Behavioral Units

44. Model Temporal and Spatial Resolutions

45. Dynamic Planning Practice Evolving Paradigm of Modeling and Simulation New Research and Technology Sustainable and Green Visions

46. Dynamic Planning Practice • Dynamic thinking = time and change are intrinsic in the thought processes underlying planning activities. • Strategic planning = set targets and find paths to achieve these targets • Ecological thinking = we consider the overall anthropogenic system and nature • Performance based planning = measurable targets and continuous evaluation • Coherent modeling = we need information and guidance to plan, design, operate, manage, and maintain transportation systems

47. Dynamic Planning Components • Inventory – envision as a dynamic map of entities and functions • Strategy measurement and evaluation – targets and ways to make assessments • Forecasting and Backcasting – travel from present to future and back

48. Inventory Issues • Multiple levels • Errors and error tolerance (policies, models, databases) • Updates and cycles • Merging data and information among different scales

49. Strategy measurement and evaluation • Strategic Planning – set a target and the path to reach it – the usual vision, mission, goals, objectives, targets, measures, and update cycles • Performance Based Planning – in essence means if you meet a goal you get funding continuation; otherwise…

50. A Federal Example • Federal Program Assessment Rating Tool (PART) • For individual programs from homeland security to education, employment, and training. • Tailored analysis to each program (airport improvement, highway planning and construction, fixed guideway modernization capital investments, and the federal transit formula grants and research). • Yearly update and evaluation. • Uses 25 questions divided into sections to analyze: • a) purpose and design of a program; • b) strategic planning and an agency’s ability to define outcome-oriented yearly and longer term goals; • c) management and quality assurance; and • d) ability of a program to report accurately and consistently outcomes. • Tailored analysis yields summaries that receive a rating from 0 to 100 (0-49 is ineffective, 50-69 is adequate, 70-84 is moderately effective, and 84-100 is effective).